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A Dispatching Method for Large-Scale Interruptible Load and Electric Vehicle Clusters to Alleviate Overload of Interface Power Flow
The study of dispatching methods for large-scale interruptible loads and electric vehicle clusters is of great significance as an optional method to alleviate the problem of overload in interface power flow. In this paper, the distribution model and transfer capacity of large-scale interruptible loa...
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Published in: | Sustainability 2023-08, Vol.15 (16), p.12452 |
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creator | Ye, Xi Li, Gan Zhu, Tong Zhang, Lei Wang, Yanfeng Wang, Xiang Zhong, Hua |
description | The study of dispatching methods for large-scale interruptible loads and electric vehicle clusters is of great significance as an optional method to alleviate the problem of overload in interface power flow. In this paper, the distribution model and transfer capacity of large-scale interruptible load and electric vehicle in two dimensions of time and space were firstly introduced. Then, a large-scale interruptible load and electric vehicle dispatching model considering transmission interface power flow balance was established. Finally, a case study was carried out with the city power grid as the research object. Studies show that by dispatching large-scale interruptible load and electric vehicle, the overload rate of interface power flow can be reduced by 12–17%, while the proportion of clean energy generation increased by 4.19%. Large-scale interruptible load and electric vehicles are quite different in terms of the role they play in grid regulation. The regulation cost of electric vehicles is higher than that of large-scale interruptible load, but it also has the advantages of promoting the consumption of clean energy and improving the overall operating economy. Which type of resource should be given priority is based on the actual state of the grid. In addition, the cost of electricity has a significant impact on the load response behavior of electric vehicles. It should be determined according to various factors, such as interface power flow control requirements, regulation costs, and power grid operation costs. |
doi_str_mv | 10.3390/su151612452 |
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In this paper, the distribution model and transfer capacity of large-scale interruptible load and electric vehicle in two dimensions of time and space were firstly introduced. Then, a large-scale interruptible load and electric vehicle dispatching model considering transmission interface power flow balance was established. Finally, a case study was carried out with the city power grid as the research object. Studies show that by dispatching large-scale interruptible load and electric vehicle, the overload rate of interface power flow can be reduced by 12–17%, while the proportion of clean energy generation increased by 4.19%. Large-scale interruptible load and electric vehicles are quite different in terms of the role they play in grid regulation. The regulation cost of electric vehicles is higher than that of large-scale interruptible load, but it also has the advantages of promoting the consumption of clean energy and improving the overall operating economy. Which type of resource should be given priority is based on the actual state of the grid. In addition, the cost of electricity has a significant impact on the load response behavior of electric vehicles. 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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Which type of resource should be given priority is based on the actual state of the grid. In addition, the cost of electricity has a significant impact on the load response behavior of electric vehicles. It should be determined according to various factors, such as interface power flow control requirements, regulation costs, and power grid operation costs.</description><subject>Costs</subject><subject>Demand side management</subject><subject>Electric power</subject><subject>Electric power transmission</subject><subject>Electric vehicle charging stations</subject><subject>Electric vehicles</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Energy</subject><subject>Green technology</subject><subject>Methods</subject><subject>Normal distribution</subject><subject>Optimization</subject><subject>Probability distribution</subject><subject>Renewable resources</subject><subject>Scheduling</subject><subject>Sustainability</subject><subject>Travel</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpVkU1LAzEQhhdRUNSTfyDgSWRrPjbJ7rFUq4WKouJ1yWYnbWS7qUnW6tk_bqQe7MxhMpnnfUOYLDsjeMRYha_CQDgRhBac7mVHFEuSE8zx_r_zYXYawhtOwRipiDjKvsfo2oa1inpp-wW6h7h0LTLOo7nyC8ifteoAzfoI3g_raJvUzZ1qkepbdNOBjt5q9ApLq9Nk0g0hkQFFh8ZdBx9WRUAPH-C7X40zWyejNKBHtwGPpp3bnGQHRnUBTv_qcfYyvXmZ3OXzh9vZZDzPNaNVzDWvKkGVKFjTYNPSspBSEylFI2irZGFkU2FMQZiSNiaFkrLhVckpFNAQdpydb23X3r0PEGL95gbfpxdrWnJZFIwTnqjRllqkj9e2Ny56pVO2sLLa9WBsuh9LQXlRClEmwcWOIDERPuNCDSHUs-enXfZyy2rvQvBg6rW3K-W_aoLr3yXW_5bIfgCWko4Z</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Ye, Xi</creator><creator>Li, Gan</creator><creator>Zhu, Tong</creator><creator>Zhang, Lei</creator><creator>Wang, Yanfeng</creator><creator>Wang, Xiang</creator><creator>Zhong, Hua</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20230801</creationdate><title>A Dispatching Method for Large-Scale Interruptible Load and Electric Vehicle Clusters to Alleviate Overload of Interface Power Flow</title><author>Ye, Xi ; Li, Gan ; Zhu, Tong ; Zhang, Lei ; Wang, Yanfeng ; Wang, Xiang ; Zhong, Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-c59962a643bb0fd28477c1776b62da74f7b9002e6f82bffffa77b59852e4eb13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Costs</topic><topic>Demand side management</topic><topic>Electric power</topic><topic>Electric power transmission</topic><topic>Electric vehicle charging stations</topic><topic>Electric vehicles</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Energy</topic><topic>Green technology</topic><topic>Methods</topic><topic>Normal distribution</topic><topic>Optimization</topic><topic>Probability distribution</topic><topic>Renewable resources</topic><topic>Scheduling</topic><topic>Sustainability</topic><topic>Travel</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Xi</creatorcontrib><creatorcontrib>Li, Gan</creatorcontrib><creatorcontrib>Zhu, Tong</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Wang, Yanfeng</creatorcontrib><creatorcontrib>Wang, Xiang</creatorcontrib><creatorcontrib>Zhong, Hua</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Xi</au><au>Li, Gan</au><au>Zhu, Tong</au><au>Zhang, Lei</au><au>Wang, Yanfeng</au><au>Wang, Xiang</au><au>Zhong, Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Dispatching Method for Large-Scale Interruptible Load and Electric Vehicle Clusters to Alleviate Overload of Interface Power Flow</atitle><jtitle>Sustainability</jtitle><date>2023-08-01</date><risdate>2023</risdate><volume>15</volume><issue>16</issue><spage>12452</spage><pages>12452-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The study of dispatching methods for large-scale interruptible loads and electric vehicle clusters is of great significance as an optional method to alleviate the problem of overload in interface power flow. In this paper, the distribution model and transfer capacity of large-scale interruptible load and electric vehicle in two dimensions of time and space were firstly introduced. Then, a large-scale interruptible load and electric vehicle dispatching model considering transmission interface power flow balance was established. Finally, a case study was carried out with the city power grid as the research object. Studies show that by dispatching large-scale interruptible load and electric vehicle, the overload rate of interface power flow can be reduced by 12–17%, while the proportion of clean energy generation increased by 4.19%. Large-scale interruptible load and electric vehicles are quite different in terms of the role they play in grid regulation. The regulation cost of electric vehicles is higher than that of large-scale interruptible load, but it also has the advantages of promoting the consumption of clean energy and improving the overall operating economy. Which type of resource should be given priority is based on the actual state of the grid. In addition, the cost of electricity has a significant impact on the load response behavior of electric vehicles. It should be determined according to various factors, such as interface power flow control requirements, regulation costs, and power grid operation costs.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su151612452</doi><oa>free_for_read</oa></addata></record> |
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subjects | Costs Demand side management Electric power Electric power transmission Electric vehicle charging stations Electric vehicles Electricity Electricity distribution Energy Green technology Methods Normal distribution Optimization Probability distribution Renewable resources Scheduling Sustainability Travel |
title | A Dispatching Method for Large-Scale Interruptible Load and Electric Vehicle Clusters to Alleviate Overload of Interface Power Flow |
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